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Seeing Central African forests through their largest trees

AbstractLarge tropical trees and a few dominant species were recently identified as the main structuring elements of tropical forests. However, such result did not translate yet into quantitative approaches which are essential to understand, predict and monitor forest functions and composition over large, often poorly accessible territories. Here we show that the above-ground biomass (AGB) of the whole forest can be predicted from a few large trees and that the relationship is proved strikingly stable in 175 1-ha plots investigated across 8 sites spanning Central Africa. We designed a generic model predicting AGB with an error of 14% when based on only 5% of the stems, which points to universality in forest structural properties. For the first time in Africa, we identified some dominant species that disproportionally contribute to forest AGB with 1.5% of recorded species accounting for over 50% of the stock of AGB. Consequently, focusing on large trees and dominant species provides precise information on the whole forest stand. This offers new perspectives for understanding the functioning of tropical forests and opens new doors for the development of innovative monitoring strategies.
- Université Libre de Bruxelles Belgium
- CGIAR France
- Centre de Coopération Internationale en Recherche Agronomique pour le Développement France
- Gembloux Agro-Bio Tech Belgium
- Smithsonian Institution Archives United States
tropical forest, 570, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, distributions, Forests, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, size, Models, Biological, Article, [SDV.BV.BOT] Life Sciences [q-bio]/Vegetal Biology/Botanics, diversity, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Phénomènes atmosphériques, K01 - Foresterie - Considérations générales, [SDV.BID.SPT] Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, [SDV.EE.ECO] Life Sciences [q-bio]/Ecology, environment/Ecosystems, Biomass, forest ecology, biodiversity, tropical forests, 580, Ecology, biomass, Forestry, Phylogenetics and taxonomy, Biodiversity, dynamics, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, F40 - Ecologie végétale, Climatic change, [SDE.BE] Environmental Sciences/Biodiversity and Ecology, climate change, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, Africa, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Forest ecology, environment/Ecosystems, U40 - Méthodes de relevé
tropical forest, 570, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, distributions, Forests, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, size, Models, Biological, Article, [SDV.BV.BOT] Life Sciences [q-bio]/Vegetal Biology/Botanics, diversity, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Phénomènes atmosphériques, K01 - Foresterie - Considérations générales, [SDV.BID.SPT] Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, [SDV.EE.ECO] Life Sciences [q-bio]/Ecology, environment/Ecosystems, Biomass, forest ecology, biodiversity, tropical forests, 580, Ecology, biomass, Forestry, Phylogenetics and taxonomy, Biodiversity, dynamics, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, F40 - Ecologie végétale, Climatic change, [SDE.BE] Environmental Sciences/Biodiversity and Ecology, climate change, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, Africa, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Forest ecology, environment/Ecosystems, U40 - Méthodes de relevé
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).127 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
